MMLU-Pro dataset is a more robust and challenging massive multi-task understanding dataset tailored to more rigorously benchmark large language models' capabilities. This dataset contains 12K complex questions across various disciplines.
Dataset Card
By TIGER-Lab, published under mit, revision b189ec765aa7.
MMLU-Pro Dataset
MMLU-Pro dataset is a more robust and challenging massive multi-task understanding dataset tailored to more rigorously benchmark large language models' capabilities. This dataset contains 12K complex questions across various disciplines.
|Github | Leaderboard | Paper |
What's New
Structure
default 12,102 rows
| Split | Rows | Size |
|---|---|---|
| test | 12,032 | 7.9 MB |
| validation | 70 | 61.9 KB |
Details
- Repository
- TIGER-Lab/MMLU-Pro
- Publisher
- TIGER-Lab
- Task category
- Question answering
- Tags
- evaluation
- Size category
- 10K<n<100K
- Languages
- en
- Revision
- b189ec765aa7ed75c8acfea42df31fdae71f97be
- Last updated
- 2026-05-02
SAVRN's Notes on MMLU-Pro
MMLU-Pro is 12,102 questions in 4.2 MB under MIT terms, but the split layout tells you what it is: 12,032 rows of test and only 70 rows of validation. This is an evaluation set, published by TIGER-Lab as a harder, more option-dense successor to MMLU, and the near-empty validation split leaves almost no room for prompt development or calibration without touching the test data itself.
MIT licensing removes friction for commercial eval pipelines, and at 4.2 MB it costs nothing to mirror internally. The discipline that matters is contamination: this is a headline benchmark with a fixed public test split, so any model that has seen it in training will overstate capability, and reviewers increasingly check for exactly that. The page was last updated May 2026 — verify the revision when comparing scores against published results.
Files
7 files, 4.2 MB in total.
Every file
| File | Type | Size | SHA-256 |
|---|---|---|---|
| data/test-00000-of-00001.parquet | Data | 4.1 MB | 0e24a191921c |
| data/validation-00000-of-00001.parquet | Data | 42.9 KB | 139423c23722 |
| README.md | Documentation | 11.7 KB | — |
| eval.yaml | Other | 590 B | — |
| run_claude3.py | Other | 2.7 KB | — |
| run_gpt4o.py | Other | 3.0 KB | — |
| .gitattributes | Repository | 2.3 KB | — |
License and Download
- License
- mit
- Access
- No access gate
Released by TIGER-Lab through its official repository on Hugging Face. Read the license.